Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

This implementation is intended for illustration purposes only and the examples lack exception handling acceptable for production systems. Beyond showcasing an implementation of the MapReduce concept, ...

You’ll want to be familiar with the Apache Hadoop framework before you jump into Elastic MapReduce. It doesn’t take long to get the hang of it, though. Most developers can have a MapReduce application ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

https://www.pcworld.com/tags/Greenplum+Inc..html and Aster Data Systems, two startups involved in large-scale data analysis, announced this week that their products ...

Singapore-based startup, Percipient, has developed a way to sidestep a common Hadoop big data function, thereby shortening query processing time by more than 15 times. Hadoop is an open source ...